Tableau: How to Analyze and Deep Dive any type of Data
- 2 hours on-demand video
- 7 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- How to approach any type of information/data and how to visualize it
- A step by step guide on choosing which visualizations best suit certain types of data
- How to communicate and present your findings to senior managers or non-data people
- You will need to be intermediate to expert level Tableau
- Basic Excel skills (mostly for opening Excel files and having a look prior to Tableau analysis)
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WHO'S THIS FOR? - This course is designed specifically for those wanting to learn how to approach and visualize any type of data no matter how big or small. This course is not for beginners!!
Why do we Deep Dive?
In this day and age, businesses live and breathe data! We've become so good at collecting it that eventually it becomes too big to even manage. The ability to take that data, find patterns and trends is essential for the survival of both big and small business around the world.
From an individuals point of view, those with the ability to perform such analysis will become (if they're not already) the most valuable people in every industry!
What will learn?
This course is made up of 3 tutorials and 3 assignment each with different complexities.
In the tutorials I'll show you in extreme detail the steps I take when analyzing data. These are the same steps I use in my professional life. I'll go through why I choose certain visualizations, how I come to build them as well as shortcut secrets I use to create visualizations far quicker than most of my colleagues.
The assignments themselves don't have any one truth. In fact, deep diving is really about interpretation. You're interpretation may be different from mine and that doesn't necessarily make yours or mine correct or incorrect. However, whichever path you choose, be ready to logically defend why you do it that way.
This forms the second part of deep diving which is communicating your findings. I'll show you how I do it so that even non-data people can understand.
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- Intermediate level or above. If not, I recommend my "Complete Tableau Training for Absolute Beginners" course
- Those looking to develop or learn new ways of approaching complicated data
Welcome to this deep diving course! I'm so excited to be teaching this as its a subject I get asked about a lot; how do I go about or approach data followed by analysis.
I believe once you've developed a general methodology you can apply this to almost any problem. On that note lets do some tutorials and exercises to make you the best analyst I can! Good luck!
What does it mean to deep dive? Quite simply it means understanding your data and finding patterns, trends or proving that there isn't one. However we can go a bit deeper than this. Deep Diving also includes many different techniques as well as the skill to choose the correct visualization for the correct type of data. Needless to say this comes with experience and the willingness to get things wrong from time to time.
I this video we'll go through a simple example of how I approach a data set. Feel free to download the file and follow along but that is not required as we have tutorials and assignments coming up.
In this tutorial we'll be doing an example whereby the manager of a sporting goods store wants to analyze their sales records. The task is to determine if they are operating their business as best they can.
The data set itself includes x3 main sheets of information; their summary profits, individual sales and finally marketing spend per item type.
By combining the 3 we may uncover something interesting that we can advise on to help them with their business.
The goal of this assignment is to determine if there is a relationship between the the heights of the people living in a particular country, the available jean sizes and the profit generated.
In this case I play the role of a jeans manufacturer trying to determine the above. No doubt this is no simple thing but again start basically and add complexity as you go.
The most common analysis you may find is analyzing revenue, sales, profit, etc. But deep diving isn't restricted to this. You can also analyze human behavior or performance.
In this example, we have an insurance company. The idea is to analyze the performance of the workers and see if there are any discernable patterns. Are their differences in their performance? If so, what are they and can they be extended to other team members?
In this assignment we have customer information in regards to sales. Customers call in about purchasing certain items and the sales team process these requests.
Your job is to analyze the performance of these agents in terms of who are the peak performers as well as who is struggling.
In addition to this we'll need to develop a tracking dashboard to visualize cases requiring further follow up.
Pay gap between men and women is a discussion that comes up when talking about equality in the workplace.
In this data set a survey company has collected the salaries of many people. Our job is to visualize the gap in an interesting way.
There are obviously many ways to do this so let your creativity take charge!
Of all the assignments to date this will be the hardest!
Sometimes we'll receive data and whilst its nice to try and model every field, its just infeasible. Sometimes you may need to make an educated decision in order to keep things simple enough and still tell a compelling story.
In this example, you're job is determine if there is any relationship between gender, age, blood pressure, etc., with the patients coming in and reporting symptoms.
Do the symptoms attack younger people, or older, or higher blood pressure, etc. Good luck!